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Nürnberg: Neumühle, Trübung

Tägliche Messung Trübung in FNU am Standort Neumühle auf Jahresbasis

Biogeochemical variables from a Multidisciplinary BASS Mesocosm Study at Wilhelmshaven, 2023

This dataset contains biogeochemical variables measured during the same mesocosm experiment at Sea Surface Facility (SURF) in Wilhelmshaven, Germany (53.5148° N, 8.1461° E) in 2023. Variables include surfactants and nutrient concentrations, chlorophyll a, pigments, particulate and dissolved organic carbon and nitrogen, and several other biogeochemical parameters. These data complement the daily averaged physical parameters (PANGAEA DOI: https://doi.pangaea.de/10.1594/PANGAEA.983975) and together support the assessment of ecosystem and biogeochemical dynamics associated with the experiment, as described in the related publication Bibi et al., 2025.

Continuous optical chlorophyll-a and turbidity data along R/V SONNE cruise SO285

Underway optical chlorophyll-a and turbidity data were collected along the cruise track with Sea-Bird Scientific ECO FLNTU sensors installed within two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). The SMBs measure alternatingly. While one box is measuring, the other one is being cleaned. The water inlet for the SMBs is at about 4 m below sea surface. Observed chlorophyll-a and turbidity data were both quality controlled and the chlorophyll-a data was additionally calibrated using chlorophyll-a reference data from discrete water samples taken from the CTD water sampler at 10 m depth. Sample chlorophyll-a was determined spectrophotometrically following Jeffrey and Humphrey (1975) as in EPA Method 446. Note that the ship crossed various biogeochemical provinces leading to high variability in the data and, additionally, non-photochemical quenching effects can be observed making it difficult to robustly calibrate the data. A comparison of the calibrated chlorophyll-a with satellite data using the GlobColour CHL1 and CHL2 products is additionally provided. Details on all quality control steps, the calibration, and the comparison with satellite data can be found in the data processing report. The resulting data set contains the original data, the calibrated data (in case of chlorophyll-a) and corresponding quality flags achieved by the quality control algorithm. The data source is given through the name of the active SMB. The data set contains data during transit time and station work. We recommend to use ship's speed to filter for only transit data.

Continuous optical chlorophyll-a and turbidity data along RV MARIA S. MERIAN cruise MSM129/1

Underway optical chlorophyll-a and turbidity data were collected along the cruise track with Sea-Bird Scientific ECO FLNTU sensors installed within two autonomous measurement containers, as part of the "Reinseewassersystem" (RSWS). The containers measure alternatingly. While one container is measuring, the other one is being cleaned. The boxes switched generally every 12 hours. The water inlet for the RSWS is at about 6.5 m below sea surface. Observed chlorophyll-a and turbidity data were both quality controlled. Analysis of the chlorophyll-a and turbidity data during parallel operation of the sensors in the two boxes showed significant differences between the sensors. The sensors were aligned resulting in consistent chlorophyll-a and turbidity time series. The corrected chlorophyll-a data were calibrated based on chlorophyll-a values from discrete water samples taken from a RSWS water outlet in the hangar. Samples were frozen and measured fluorometrically in the lab. The time series was separated into two sections, coastal and open ocean, which were calibrated independently. The turbidity time series was also compared to suspended particulate matter from water samples, however, correlation was low and therefore the comparison not used for calibrating turbidity. The calibrated chlorophyll-a time series and corrected turbidity time series were compared against Globcolour CHL1 and TSM products, respectively. Details on all quality control steps, the calibration, and the comparison with satellite data can be found in the data processing report. The data set user should keep in mind that some parts of the time series are likely affected by non-photochemical quenching, see data processing report. It was out of the scope of the quality control to flag or correct non-photochemical quenching. The resulting data set contains the original data and corresponding quality flags achieved by the quality control algorithm as well as the calibrated chlorophyll-a and corrected turbidity data with corresponding quality flags. The data source is given through the name of the active container. The data set contains data during transit time and station work. We recommend to use ship's speed to filter for only transit data.

Water chemistry of Lagrangian samplings of Inland Elbe 2024 (MOSES Hydrological Extremes)

Within the framework of MOSES (Modular Observation Solutions for Earth Systems) and ElbeXtreme, we performed three longitudinal sampling campaigns in the Elbe catchment in 2024. The campaigns covered the German freshwater part, the tidal Elbe river, and the German Bight. Here we present the results of the freshwater river where the sampling was conducted in a Langrangian way according to flow velocity. Physico-chemical and biological parameters were measured along the Elbe from bridges between Bad Schandau (km 12, Czech-German border) and Lauenburg (km 570, close to Hamburg). A particular scientific focus was on (1) nutrients and eutrophication, (2) composition of dissolved organic matter measured by high-resolution mass spectrometry, (3) greenhouse gas measurements, and (4) micropollutants. This was done during a winter flood event in January, a summer drought in July, and a second smaller flood in September 2024.

Continuous turbidity observations near DynaCom experimental in the back-barrier tidal flat, Spiekeroog, Germany, 2018-09 to 2023-09

Data presented here were collected between September 2018 to September 2023 within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems) involving the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were established in the back-barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog (Germany). To measure local turbidity, a turbidity recorder equipped with a Seapoint® turbidity meter (RBRsolo Tu, RBR Ltd., Ontario/Canada) was installed in the back-barrier tidal flat near the experimental islands in a shallow tidal creek (0.9 m NHN). Another one was installed at the saltmarsh edge (1.2 m NHN). Both loggers were bottom mounted through a steel girder (buried 0.3 m deep in the sediment) and were positioned 15 cm above sediment surface, as was determined by using a portable differential GPS. This resulted in the sensor falling dry during low tide. The turbidity recorders were pre-calibrated by the manufacturer (Seapoint Sensors, Inc., NH/USA). Recorded data were internally logged and exported using Ruskin software V2.24.3.x (RBR Ltd., Ontario/Canada). Subsequent data processing was done using MATLAB (R2024b). Post-processing and quality control included the removal of (a) low tide data (sensors exposed to air), (b) data covering maintenance activities, (c) data affected by biofouling, and (d) implausible values, i.e. negative values and values exceeding the linear response range of the sensor (1250 NTU). According to manufacturer specifications, the linear measurement range extends up to 1250 NTU, while 750 NTU represent a more conservative estimate of linearity. Therefore, 1250 NTU was adopted as the upper threshold for valid measurements in this dataset.

Nürnberg: Hüttendorf, Trübung

Tägliche Messung Trübung in FNU am Standort Hüttendorf auf Jahresbasis

Nürnberg: Theodor-Heuss-Brücke, Trübung

Tägliche Messung Trübung in FNU am Standort Theodor-Heuss-Brücke auf Jahresbasis

Copernicus-Auswertung für die Ostsee (WMS)

Dieser Darstellungs-Dienst (WMS) der Marinen Dateninfrastruktur Deutschland (MDI-DE) stellt Copernicus-Daten für die Ostsee zur Verfügung. Die Daten wurden für den Zeitraum 2022-2024 aggregiert (gemittelt) sowie zeitvariant ausgewertet und können u.a. für das MSRL Reporting genutzt werden. Bereitgestellte Parameter sind: Cyanobakterien, Trübung, Salinität, Temperatur und Azidität. Die Daten werden über unterschiedliche Zeiträume (täglich, monatlich, saisonal, 2-wöchentlich, MSRL-abgestimmt Jul-Aug) aggregiert, repräsentiert durch statistische Kennziffern.

Copernicus-Daten für die Ostsee (2022-2025)

Die Marine Dateninfrastruktur Deutschland (MDI-DE) stellt Copernicus-Daten für die Ostsee zur Verfügung. Die Daten wurden für den Zeitraum 2022-2024 aggregiert (gemittelt) sowie zeitvariant ausgewertet und können u.a. für das MSRL Reporting genutzt werden. Bereitgestellte Parameter sind: Cyanobakterien, Trübung, Salinität, Temperatur und Azidität. Die Daten werden über unterschiedliche Zeiträume (täglich, monatlich, saisonal, 2-wöchentlich, MSRL-abgestimmt Jul-Aug) aggregiert, repräsentiert durch statistische Kennziffern.

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